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ORCIDYunxin Liu
- > Home > Persons > Yunxin Liu
Publications
- 2024
[j44]Jinrui Zhang
, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Youngki Lee, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu:
HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception. IEEE Trans. Mob. Comput. 23(5): 4648-4664 (2024)- [j43]Yuanzhe Li, Shangguang Wang, Yuanchun Li, Ao Zhou, Mengwei Xu, Xiao Ma, Yunxin Liu:
Seamless Cross-Edge Service Migration for Real-Time Rendering Applications. IEEE Trans. Mob. Comput. 23(6): 7084-7098 (2024) - [c119]Rui Kong, Yuanchun Li, Qingtian Feng, Weijun Wang, Xiaozhou Ye, Ye Ouyang, Linghe Kong, Yunxin Liu:
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget. ACL (1) 2024: 6710-6720 - [c117]Yizhen Yuan, Rui Kong, Yuanchun Li, Yunxin Liu:
WiP: An On-device LLM-based Approach to Query Privacy Protection. EdgeFM@MobiSys 2024: 7-9 - [c116]Hanfei Geng, Yi Sun, Yuanzhe Li, Jichao Leng, Xiangyu Zhu, Xianyuan Zhan, Yuanchun Li, Feng Zhao, Yunxin Liu:
TESLA: Thermally Safe, Load-Aware, and Energy-Efficient Cooling Control System for Data Centers. ICPP 2024: 939-949 - [c114]Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu:
AutoDroid: LLM-powered Task Automation in Android. MobiCom 2024: 543-557 - [c113]Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu:
FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices. MobiCom 2024: 709-723 - [c112]Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang:
Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization. MobiSys 2024: 438-450 - [c111]Hao Wen, Wenjie Du, Yuanchun Li, Yunxin Liu:
Poster: Enabling Agent-centric Interaction on Smartphones with LLM-based UI Reassembling. MobiSys 2024: 706-707 - [i42]Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, Yunxin Liu:
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security. CoRR abs/2401.05459 (2024) - [i41]Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu:
A Survey of Resource-efficient LLM and Multimodal Foundation Models. CoRR abs/2401.08092 (2024) - [i40]Rui Kong, Qiyang Li, Xinyu Fang, Qingtian Feng, Qingfeng He, Yazhu Dong, Weijun Wang, Yuanchun Li, Linghe Kong, Yunxin Liu:
LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design. CoRR abs/2405.17741 (2024) - [i38]Weijun Wang, Liang Mi, Shaowei Cen, Haipeng Dai, Yuanchun Li, Xiaoming Fu, Yunxin Liu:
Region-based Content Enhancement for Efficient Video Analytics at the Edge. CoRR abs/2407.16990 (2024) - 2023
- [c106]Yixuan Li, Qirui Yang, Hao Wen, Huiwen Zheng, Weimin Liu, Hui Li, Yuanchun Li, Yunxin Liu:
Retrieval-based Battery Degradation Prediction for Battery Energy Storage System Operations. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 724-731 - [c105]Yizhen Yuan, Rui Kong, Shenghao Xie, Yuanchun Li, Yunxin Liu:
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification. ACM Multimedia 2023: 9134-9142 - [c103]Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Yaqin Zhang, Yunxin Liu:
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments. MobiCom 2023: 28:1-28:17 - [c100]Zhonghao Pan, Yang Feng, Zhiyuan Li, Yunxin Liu, Yuanchun Li:
Understanding the Impact of Quantum Noise on Quantum Programs. SANER 2023: 426-437 - [c99]Naiyu Zheng, Ting Chen, Chuchu Dong, Yubo Yang, Yuanzhe Li, Yunxin Liu, Yuanchun Li:
Environment-aware Testing for DNN-based Smart-home WiFi Sensing Systems. SANER 2023: 763-767 - [i36]Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu:
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments. CoRR abs/2303.07129 (2023) - [i31]Yizhen Yuan, Rui Kong, Shenghao Xie, Yuanchun Li, Yunxin Liu:
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification. CoRR abs/2308.11822 (2023) - [i30]Wenxing Xu, Yuanchun Li, Jiacheng Liu, Yi Sun, Zhengyang Cao, Yixuan Li, Hao Wen, Yunxin Liu:
Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints. CoRR abs/2308.15003 (2023) - [i29]Rui Kong, Yuanchun Li, Qingtian Feng, Weijun Wang, Linghe Kong, Yunxin Liu:
Serving MoE Models on Resource-constrained Edge Devices via Dynamic Expert Swapping. CoRR abs/2308.15030 (2023) - [i28]Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu:
Empowering LLM to use Smartphone for Intelligent Task Automation. CoRR abs/2308.15272 (2023) - [i27]Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang:
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations. CoRR abs/2309.08978 (2023) - 2022
- [c96]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Representational Continuity for Unsupervised Continual Learning. ICLR 2022 - [c95]Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu:
ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. ICSE 2022: 1856-1868 - [c92]Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu:
MobiDepth: real-time depth estimation using on-device dual cameras. MobiCom 2022: 528-541 - [c90]Jaemin Shin, Yuanchun Li, Yunxin Liu, Sung-Ju Lee:
FedBalancer: data and pace control for efficient federated learning on heterogeneous clients. MobiSys 2022: 436-449 - [i23]Jaemin Shin, Yuanchun Li, Yunxin Liu, Sung-Ju Lee:
Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients. CoRR abs/2201.01601 (2022) - 2021
- [c84]Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, Yunxin Liu:
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection. ICSE 2021: 263-274 - [c82]Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu:
ModelDiff: testing-based DNN similarity comparison for model reuse detection. ISSTA 2021: 139-151 - [c76]Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu:
Flexible high-resolution object detection on edge devices with tunable latency. MobiCom 2021: 559-572 - [c72]Chengxu Yang, Yuanchun Li, Mengwei Xu, Zhenpeng Chen, Yunxin Liu, Gang Huang, Xuanzhe Liu:
TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation. ESEC/SIGSOFT FSE 2021: 806-817 - [i16]Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, Yunxin Liu:
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection. CoRR abs/2101.06896 (2021) - [i13]Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu:
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection. CoRR abs/2106.08890 (2021) - [i12]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. CoRR abs/2110.06976 (2021) - 2020
- [j23]Bingyan Liu, Yuanchun Li, Yunxin Liu, Yao Guo, Xiangqun Chen:
PMC: A Privacy-preserving Deep Learning Model Customization Framework for Edge Computing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 139:1-139:25 (2020) - [c61]Ziqi Zhang, Yuanchun Li, Yao Guo, Xiangqun Chen, Yunxin Liu:
Dynamic slicing for deep neural networks. ESEC/SIGSOFT FSE 2020: 838-850 - [i9]Ziqi Zhang, Yuanchun Li, Yao Guo, Xiangqun Chen, Yunxin Liu:
Dynamic Slicing for Deep Neural Networks. CoRR abs/2009.13747 (2020)
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last updated on 2024-09-18 01:10 CEST by the dblp team
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